TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysis
The recent success of learning-based image rain and noise removal can be attributed primarily to well-designed neural network architectures and large labeled datasets. However, we discover that current image rain and noise removal methods result in low utilization of images. To alleviate the relianc...
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